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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2017/01/25 01:11:26 UTC
[jira] [Commented] (SPARK-19357) Parallel Model Evaluation for ML
Pipeline Tuning
[ https://issues.apache.org/jira/browse/SPARK-19357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15836977#comment-15836977 ]
Bryan Cutler commented on SPARK-19357:
--------------------------------------
I'm working on this
> Parallel Model Evaluation for ML Pipeline Tuning
> ------------------------------------------------
>
> Key: SPARK-19357
> URL: https://issues.apache.org/jira/browse/SPARK-19357
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Bryan Cutler
>
> This is a first step of the parent task of Optimizations for ML Pipeline Tuning to perform model evaluation in parallel. A simple approach is to naively evaluate with a possible parameter to control the level of parallelism. There are some concerns with this:
> * excessive caching of datasets
> * what to set as the default value for level of parallelism. 1 will evaluate all models in serial, as is done currently. Higher values could lead to excessive caching.
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